General Electric Company

Other

Babcock & Wilcox Power Generation Group, Inc.

Westinghouse Air Brake Technologies Corporation

Vinay Bhaskar Jammu

Ravi Yoganatha Babu

Achalesh Kumar Pandey

Ajay Kumar Behera

Rahul Srinivas Prabhu

Vivek Venugopal Badami

Steven Hector Azzaro

Nidhi Naithani

Richard Gerald Bliley

Sudhanshu Rai

William Roy Schneider

Vinod Kumar

Edward Brittain Stokes

Chayan Mitra

Aninda Bhattacharya

Soumen De

Venkatesh Rajagopalan

Kunal Ravindra Goray

Sheri George

Nishith Pramod Vora

Thomas Gary O'Keeffe

Mahesh Amritlal Morjaria

Munish Vishwas Inamdar

Bhasker Rao Keely

Raj Mohan Bharadwaj

Rama Venkata Mahajanam

Abhay Sudhakar Rao Kant

Radislav Alexandrovich Potyrailo

William Albert Challener

Jason Harris Karp

Nicholas E Roddy

Mohamed Ahmed Ali

Anil Varma

Catherine Mary Graichen

Andreas Kirchner

John Joseph Madelone, Jr

Thomas George Cook

Wontae Hwang

Anne M Isburgh

Mohamed Sakami

Jitendra Kumar

Mahalakshmi Shunmugham Balasubramaniam

Khan Mohamed Khirullah Genghis Khan

Sagar Arvindbhai Patel

Narayanan Urupuniakavu Madam

Venkatesh Kattigari Madyastha

John C Crouse

Slawomir Marian Zaremba

Arnim Smolenski

Arul Saravanapriyan

Aurélie Bureau

Ramesh Perla

Krishna Vardhan Pullatikurti

Ali Osman Ayhan

Stephen Stoicovy

Omprakash Velagandula

Charles Richard Unkle

Thomas Timothy Booth

Thomas Shaginaw

Enrique Betancourt

Alfonso M Delgado Cruz

Gregory Dennis Coulter

Mahalakshmi Shunumugam Balasubramaniam

Klaus Holtel

Aurelie Bureau

Viktor Weimer

Venkatesh Madyastha

Carsten Silcher

A system includes one or more processors and a resonant sensor that contacts oil within an engine of a vehicle system. The sensor generates electrical stimuli at different times during an operational life of the engine. Each electrical stimulus has multiple different frequencies applied to the oil. The one or more processors receive electrical signals representing impedance responses of the oil to the electrical stimuli. The one or more processors determine a concentration of a polar analyte in the oil at the different times based on the impedance responses and calculate a degradation value for the engine based on the polar analyte concentration. Responsive to the degradation value exceeding a designated degradation threshold, the one or more processors at least one of schedule maintenance for the vehicle system, provide an alert to schedule maintenance for the vehicle system, or prohibit operation of the vehicle system until maintenance is performed.

Sensing system and method

An embodiment of a method for lifespan modeling for a turbine engine component includes determining a design-phase model of the lifespan of an turbine engine component; fusing the design-phase model with sensor data collected during operation of the turbine engine component to produce an updated model of the lifespan of the turbine engine component; and fusing the updated model with data collected during an inspection of the turbine engine component to produce an overall model of the lifespan of the turbine engine component. Systems for lifespan modeling for a turbine engine component are also provided.

Physics-based lifespan modeling

A system for optically monitoring a gas turbine engine includes an optical multiplexer configured to receive multiple images from respective viewports into the gas turbine engine. The optical multiplexer includes a movable reflective device configured to selectively direct at least a portion of each image toward a detector array, and the detector array is directed toward a fixed location on the optical multiplexer.

Optical monitoring system for a gas turbine engine

A system is disclosed. The system includes a processing subsystem that receives component data signals corresponding to a plurality of parameters of a device, wherein the processing subsystem generates one or more sets of state category component data by allocating the component data signals into respective one or more sets of state category component data, determines a plurality of first dynamic thresholds and a plurality of second dynamic thresholds corresponding to at least one of the one or more sets of state category component data based upon a respective set of state category component data in the one or more sets of state category component data and a respective parameter in the plurality of parameters, and determines an impending trip of the device utilizing the plurality of first dynamic thresholds and the plurality of second dynamic thresholds.

Systems and methods for prediction of trips

Embodiments of the invention include an inspection system to inspect internal components of a compressor of a gas turbine engine. The inspection system includes an image recording assembly having one or more image recording devices, light sources, storage devices, and power supplies. The image recording assembly may be inserted into a compressor without removal of the compressor housing or disassembly of the compressor. The image recording assembly may be removably coupled to a rotary component of the compressor, e.g., a rotor blade, and used to record images of stationary components, e.g., stator vanes, of the compressor. The images may be inspected to identify wear and/or defects in the stationary components, e.g., stator vanes.

System and method for inspection of stator vanes

A system is disclosed that includes an image recording assembly for recording images of a stator vane of a compressor and a mechanism configured to magnetically couple the image recording assembly to a rotor blade of a compressor. Additional systems are provided that include image recording assemblies. Methods implementing the disclosed systems are also provided.

Image recording assemblies and coupling mechanisms for stator vane inspection

A system is presented. The system includes a data acquisition system that generates time of arrival (TOA) data corresponding to a plurality of blades in a device, a central processing subsystem that determines features of each of the plurality of blades utilizing the TOA data, and evaluates the health of each of the plurality of blades based upon the determined features.

System and method for monitoring health of airfoils

A method for monitoring the health of a compressor of a gas turbine is disclosed. The method includes receiving a plurality of turbine data points, wherein the plurality of turbine data points may include one or more operating parameters, at least one of a computer discharge temperature (CTD), and one or more performance parameters. The plurality of turbine data points may be categorized based on the one or more operating parameters. A statistical variability measure of at least one of the CTD and the one or more performance parameters may be computed for each of the plurality of bands. An alarm indicator may be computed based on the at least one statistical variability measure. The method may also include combining two or more of the operating parameters, the CTD and the performance parameters using sensor fusion techniques. The alarm indicator may be computed based on the combined parameters.

Method and system for compressor health monitoring

Systems and methods for prediction of gas turbine trips due to component failures such as electro-hydraulic valve (gas control valve) system failures. Exemplary embodiments include prediction of gas turbine trips due to component failures, the method including collecting raw gas turbine operational data and using the raw gas turbine operational data to generate a prognostic indicator for the prediction of a turbine trip due to the failed gas control valves.

System and method for prediction of gas turbine trips due to gas control valve failures

A system includes an electrostatic precipitator, an electromagnetic sensor and a processor to locate spark locations. The electromagnetic sensor is used at various locations of the electrostatic precipitator to obtain data and process the same for locating sparks in electrostatic precipitators.

System and method for locating sparks in electrostatic precipitators

A Monitoring and Diagnostics System is provided, which includes a monitoring unit and a monitored unit remotely located from the monitoring unit. The System also includes communication means between the monitoring unit and the monitored unit. The monitored unit includes data acquisition means for providing fault data of the monitored unit and the communication means are adapted to communicate the fault data from the monitored unit to the monitoring unit. The monitoring unit includes a rules engine having a set of expert rules for analyzing the information contained in the fault data and being adapted to deduce diagnostics information from the rules and from the information. In addition, a communication method for communicating between a first Programmable Logic Controller and a second Programmable Logic Controller or a central unit is provided, in which a description file is provided.

Automatic remote monitoring and diagnostics system

A method is provided for the monitoring of heat transfer devices. The method includes the acts of receiving data from a heat transfer device, and computing a performance indicator indicative of an incipient anomaly condition of the heat transfer device based upon the received data, and/or computing a normalized efficiency of the heat transfer device. The normalized efficiency represents a corrected efficiency that isolates effects of a process parameter on performance of the heat transfer device. The data represents a measurable process parameter or a change in a measurable process parameter in the heat transfer device. The method receives the data and computes a performance indicator to predict performance degradation of the heat transfer device over time based upon the received data.

Method for monitoring performance of a heat transfer device

A system for rotor blade health monitoring include time of arrival (TOA) sensors and a controller comprising a processor configured for obtaining TOA signals indicative of times of arrival of rotating rotor blades from the respective TOA sensors and for determining initial features from the TOA signals; and a feature level fuser configured for fusing the initial features received from the processor for use in evaluating health of the rotating rotor blades.

System and method for rotor blade health monitoring

A method of wind turbine management includes receiving operational information on operational characteristics of a wind turbine. The operational information is analyzed based on a set of rules, and a determination is made as to whether a fault of the wind turbine is resettable. The set of rules may be configured based on operating configuration of the wind turbine. Advanced operational information may be received for conducting enhanced diagnostics and a determination is made as to whether a fault of the wind turbine is resettable.

System and method for managing wind turbines and enhanced diagnostics

A gearbox life estimation system includes a single sensor or multiple sensors configured for obtaining field operational data related to loading of a gearbox from a single gearbox component or different gearbox components. The system further includes a processor configured for receiving signals representative of the field operational data from the sensors, for providing calculated operational load data for the gearbox components based on the field operational data, and for providing an estimate of remaining life of gearbox using the calculated operational load data.

Method and system for estimating life of a gearbox

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Bengaluru, India

Vinay Bhaskar Jammu